SOTAVerified

Denoising

Denoising is a task in image processing and computer vision that aims to remove or reduce noise from an image. Noise can be introduced into an image due to various reasons, such as camera sensor limitations, lighting conditions, and compression artifacts. The goal of denoising is to recover the original image, which is considered to be noise-free, from a noisy observation.

( Image credit: Beyond a Gaussian Denoiser )

Papers

Showing 29412950 of 7282 papers

TitleStatusHype
Detection and Classification of Brain tumors Using Deep Convolutional Neural Networks0
Detecting Visual Triggers in Cannabis Imagery: A CLIP-Based Multi-Labeling Framework with Local-Global Aggregation0
BrainMRDiff: A Diffusion Model for Anatomically Consistent Brain MRI Synthesis0
An Effective Fusion Method to Enhance the Robustness of CNN0
Mitigating the Impact of Noisy Edges on Graph-Based Algorithms via Adversarial Robustness Evaluation0
Detecting Changes in Asset Co-Movement Using the Autoencoder Reconstruction Ratio0
Details Preserving Deep Collaborative Filtering-Based Method for Image Denoising0
Detail-preserving and Content-aware Variational Multi-view Stereo Reconstruction0
Brain-Driven Representation Learning Based on Diffusion Model0
BDHT: Generative AI Enables Causality Analysis for Mild Cognitive Impairment0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81Unverified
2Pixel-shuffling DownsamplingPSNR38.4Unverified
3TWSCPSNR37.93Unverified
4CBDNet(Syn)PSNR37.57Unverified
5MCWNNMPSNR37.38Unverified
6Han et alPSNR35.95Unverified
7FFDNetPSNR34.4Unverified
8TNRDPSNR33.65Unverified
9CDnCNN-BPSNR32.43Unverified
10NLRNPSNR30.8Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61Unverified